Quickly get up-to-speed on Zscaler’s SecOps platform, utilizing Python and APIs to configure, customize, and automate data transformations and workflows.
Partner with cybersecurity subject matter experts (SMEs) to onboard new data pipelines and map diverse IT and security sources to fulfill specific customer use cases.
Proactively troubleshoot pipeline health and audit customer data across environments to identify quality issues, flag security gaps, and define clear remediation steps.
Zscaler accelerates digital transformation to ensure customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, they leverage the world’s largest security data lake to power their cloud-native Zero Trust Exchange platform. They build high-performing teams that can make an impact quickly and with high quality.
Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources.
Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems.
Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues.
Northbeam is building the world's most advanced marketing intelligence platform for top eCommerce brands, providing powerful attribution modeling and customizable dashboards. The company is experiencing rapid growth with a strong product-market fit and a remote-friendly culture.
Design and deliver backend features in Python for large-scale enterprise SaaS.
Contribute to technical excellence through testing, CI/CD, and secure design.
Provide technical guidance and architectural input across backend initiatives.
Arch Systems empowers discrete manufacturing facilities with deep data insights that enable optimal efficiency, precise KPIs, and proactive decision-making. The company works with leading manufacturers to integrate and optimise their data for actionable intelligence, fueling productivity and operational excellence.
Design, build, and own backend systems that transform raw enterprise data into structured representations.
Develop and maintain scalable data processing pipelines, semantic storage layers, and versioning systems.
Own features end-to-end, from data modeling and backend logic to API design and integration layers.
Pragmatike is recruiting on behalf of a fast-growing, AI-first enterprise software company building a next-generation semantic intelligence layer for large-scale business data. They value transparency, ownership, and long-term impact.
Design, build, and maintain scalable data pipelines in Microsoft Fabric using pipelines, Dataflows Gen2, and notebooks.
Integrate and consolidate data from multiple enterprise sources (ERP, CRM, APIs) into a centralized Lakehouse platform.
Develop and manage Bronze, Silver, and Gold layers, ensuring data is structured, clean, and business-ready.
Anord Mardix, a Flex company, is a global leader in critical power solutions supporting industries from financial institutions to data centers. The Flex family has ~160,000 members in 30 countries with a values-driven, high-performance culture focused on doing the right thing, collaboration, and resilience.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.
Design, build, and operate high-scale data ingestion and replication systems from production data stores into the data lakehouse.
Build and maintain reliable, scalable data platform infrastructure capable of handling petabytes of data across analytics, AI, and operational use cases.
Develop internal libraries, APIs, frameworks, and tooling in languages such as Go and Python to help teams move and access data safely.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a publicly traded company, Samsara fosters a growth-oriented culture and serves industries that represent over 40% of global GDP.
Design and build ETL processes in collaboration with software and model development teams.
Create and maintain scalable data infrastructure.
Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
OpenTeams builds AI that empowers, with models that are energy-efficient, cost-effective, and fully yours. They are proponents of open source, reinvesting 3% of profits back into the open-source community and value freedom, teamwork, accountability, and uncompromising quality.
Design, build, and operate data pipelines for analytics and AI/ML capabilities.
Architect ingestion, transformation, and storage pipelines across diverse data sources.
Implement data models suitable for analytics and BI consumption.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share the shortlist directly with the hiring company.
Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
Process and integrate data from multiple formats and sources (JSON, CSV, XML).
Build and manage data transformations and orchestration workflows using dbt and orchestration tools such as Airflow, Prefect, or Dagster.
I lack information about the company from the job posting. Please provide information about what the company does, size/employees, and culture, and I will fill this section out.
Design and build an integrated data platform, unifying existing tools and pipelines into a cohesive, scalable architecture.
Own data pipelines and SLAs end to end, ensuring reliable data movement between systems with clear expectations.
Shape the data strategy and platform roadmap, researching new technologies and introducing tools as the platform evolves.
Wrapbook is a vertical fintech platform that enables companies to seamlessly onboard, pay, and insure their workforces, operating in the entertainment industry. They are at an exciting stage of growth, having raised over 30M from investors like Andreessen Horowitz.
Own and maintain data pipeline architectures, ensuring reliability and monitoring.
Manage and evolve data modeling environments for analysts and engineers.
Implement observability for data systems, detecting issues early and continuously monitoring data quality.
Voltus unlocks the full value of distributed energy resources for customers and the grid. They are a fast-growing climate-tech company with a bright, gritty, and good team that values innovation, impact, and integrity.
Architect, design, and build backend systems that transform our internal AI technology into a scalable, market-ready product.
Design and optimize APIs, database schemas, and data processing workflows that seamlessly integrate with our AI/ML pipelines.
Mentor junior engineers, promote best practices, and advocate for a high standard of code quality and testing.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere while significantly reducing costs. Sword Health has over 1,000 enterprise clients.
Design and implement modern data platforms and scalable data pipelines to enable better data-driven decisions.
Develop and maintain ETL/ELT pipelines using SQL, Spark/PySpark, and Microsoft Fabric or Databricks.
Work closely with data architects, BI developers, and customer stakeholders in an Agile environment.
Tieto, through MentorMate, creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. The company provides its people with the opportunity to work on impactful, global projects for recognizable brands.
Design the technical architecture of the Databricks Data Warehouse and act as the pattern reviewer for the team.
Build and optimize secure self-service frameworks for batch and streaming data so the same request is never solved by hand twice.
Treat the platform like production software by defining SLOs, owning observability, and leading incident triage.
Tilt uses machine learning and mobile-first products to provide credit based on over 250 real-time financial signals, not just credit scores. With millions of customers worldwide, the company is building a new credit system for working people.
Design and optimize scalable data pipelines and architectures for Data & AI initiatives.
Build cloud-native solutions using Azure, Databricks, and big data technologies.
Collaborate with business stakeholders to deliver data-driven solutions and contribute to a strong data culture.
Redcare Pharmacy is Europe's leading e-pharmacy, driven by innovation and a mission to ensure every human has access to health. The company fosters a collaborative and healthy work environment, with a team passionate about cutting-edge technology and data-driven solutions.
Lead and manage a global data engineering team building large-scale data pipelines and production datasets for the Public Investor business.
Collaborate with product, research, and operations teams to translate roadmap priorities into scalable technical plans and customer-facing data feeds.
Drive operational excellence through data quality frameworks, observability, and AI-assisted development practices.
YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from alternative data. With over $475M raised and offices globally, it has a people-centric culture recognized as a Best Workplace for three consecutive years.
Design, build, and maintain complex data processing systems ensuring data integrity and optimizing pipelines for efficiency and scalability.
Provide mentorship for junior team members and lead by demonstrating best delivery practices.
Proactively identify improvement opportunities for dashboards and support clients in solving critical business challenges.
Incubeta is a marketing intelligence company that helps businesses leverage data and technology to drive digital growth. They are an equal opportunity employer with a focus on diversity and inclusion, and they foster a culture of collaboration and continuous learning.
Design, build, and maintain backend services that power core business workflows
Own projects end-to-end, from early design through production and iteration
Design APIs and data models that are clear, stable, and easy to work with
Short Story is an award-winning, technology-powered retailer dedicated to petite women 5'4" and under. As a fast-growing startup, they're revolutionizing retail with a data-driven learning system that leverages customer feedback to create tailored products.